Building RAG Applications with LangChain and Gen AI

Building RAG Applications with LangChain and Gen AI

Creating RAG Applications with LangChain and Generative AI focuses on developing AI systems that can pull the right data and then explain it in simple, human-like language. Instead of depending only on pre-learned knowledge, these applications search through external sources in real-time to find correct answers. This makes them more reliable and practical for industries that require accuracy, like finance, healthcare, and education.

With LangChain, developers get a toolkit that helps link AI with outside databases, APIs, and custom workflows. When combined with Gen AI models, it creates powerful solutions capable of answering tough questions, assisting businesses, and improving decision-making. These tools open the door for building AI applications that are smarter, context-aware, and business-ready.

Who should take the Exam?

This exam is ideal for:

• AI/ML engineers
• Software developers exploring AI integrations
• Data scientists
• Tech entrepreneurs working on AI products
• Cloud and backend developers
• Students interested in AI and Generative AI tools
• Professionals in finance, healthcare, or education using AI solutions

Skills Required

• Basic understanding of Python programming
• Familiarity with APIs and databases
• Knowledge of machine learning or AI fundamentals
• Problem-solving and logical thinking
• Curiosity to learn AI application development

Course Outline

Domain 1 - Introduction to RAG Applications

Domain 2 - Getting Started with LangChain

Domain 3 - Generative AI Basics

Domain 4 - Combining Retrieval and Generation

Domain 5 - Working with Databases and APIs

Domain 6 - Building Intelligent Applications

Domain 7 - Evaluation and Optimization

Domain 8 - Advanced RAG Concepts